Triple

T18754479
Position Surface form Disambiguated ID Type / Status
Subject Creggan E458612 entity
Predicate hasReligiousDemographics P103808 FINISHED
Object majority Catholic population LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: majority Catholic population | Statement: [Creggan, hasReligiousDemographics, majority Catholic population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReligiousDemographics
Context triple: [Creggan, hasReligiousDemographics, majority Catholic population]
  • A. hasReligiousComposition chosen
    Indicates that an entity is characterized by or associated with a particular religious makeup, affiliation, or set of religious components.
  • B. religionSignificantMinorityRegion
    Indicates that a particular religion constitutes a significant minority presence within a specified geographic region.
  • C. ethnicReligionMix
    Indicates a relationship where a group or context involves a combined or overlapping presence of specific ethnic identities and religious affiliations.
  • D. religiousDemographyChange
    Indicates a change over time in the religious composition or affiliation distribution within a population or region.
  • E. ethnicOrReligiousGroup
    Indicates that one entity is an ethnic or religious group to which the other entity belongs or with which it is associated.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579ef4ee48190a9892ac9787ffe37 completed April 20, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69e48d0b7b708190877951b6e6cdcbc4 completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:51 a.m.